Successive Sampling Using Auxiliary Information on Both the Occasions

Biradar, R S; Singh, Housila P.

doi:10.1177/0008068320010307

Cited by 66 publications

(21 citation statements)

References 4 publications

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“…: Population variance of the variable x. 2 , 1 2 , 2 2 : Population variances of the variables y, 1 , 2 respectively. To estimate the population mean � on the current (second) occasion, two independent estimators are suggested.…”

Section: Formulation Of Estimatormentioning

confidence: 99%

An Efficient Estimation Procedure in Two-Occasion Successive Sampling

Singh¹,

Singh²

2017

JSTA

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In this paper an efficient estimation procedure to estimate the current population mean in two-occasion successive sampling has been developed. An exponential regression type estimator of current population mean is proposed and corresponding optimum replacement strategy has been suggested. The superiority of the proposed estimator is empirically established over sample mean estimator and natural successive sampling estimator. Results are interpreted and suitable recommendations have been made.

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Section: Formulation Of Estimatormentioning

confidence: 99%

An Efficient Estimation Procedure in Two-Occasion Successive Sampling

Singh¹,

Singh²

2017

JSTA

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“…Sen (1971) considered the estimators for the population mean on the current occasion using information on two auxiliary variables available on previous occasion. Feng and (1997), and Biradar and Singh (2001) and Singh et al (2011) used the auxiliary information on both the occasions for estimating the current population mean in two-occasion successive sampling. In some situations information on two or more than two auxiliary variables may be readily available or may be made available by diverting a small amount of fund available for the survey, for instance, see , and Singh and Vishwakarma (2009), , , and , , and , and .…”

Section: Introductionmentioning

confidence: 99%

A Modified Procedure for Estimating the Population Mean in Two-Occasion Successive Sampling

Singh¹,

Pal²

2017

JAS

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Abstract. . This paper addresses the problem of estimating the current population mean in two occasion successive sampling. Utilizing the readily available information on two auxiliary variables on both occasions and the information on study variable from the previous occasion, some new estimation procedures have been developed. Properties of the proposed estimators have been studied and their respective optimum replacement policies are discussed. Relative comparison of efficiencies of the suggested estimators with the sample mean estimator when there is no matching from previous occasion and the optimum successive sampling estimator when no auxiliary information is used have been incorporated. Empirical study is carried out to judge the merits of the suggested estimators and suitable recommendations are given. We have also added a practical application in order to examine the performance of the proposed estimators. 1348Abstract in French -Résumé Ce papier traite du problème de l'estimation de la moyenne d'un paramètre d'une population dans le schéma d'unéchantillonnage en deuxétapes successives. De nouvellesprocédures d'estimation sont développées, basées sur l'information fournies par les deux variables auxiliaires lors dans les deuxéetapes et celle reçue de l'estimation de la premièreétape.Les propriétés de ces estimateurs ontétéétudiées et la stratéegie optimale de leur remplacement sont discutées. L'effcacitée relative des nouveaux estimateurs aété présentée, d'abord par rapportà la moyenne empirique lorsqu'il n'y a pas de correspondances avec la premièreétape, ensuite et par rapportà l'estimateur optimal de l'échantillonnage successif lorsque les variables auxiliaires ne sont pas utilisées. Uneétude de simulation aété entreprise pour montrer les mérites de cette méthode, ayant aboutità des recommandations. Enfin, nous avons ajouté une application pratique pour examiner la performance de nos estimateurs.

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“…Beginning with the work of Jessen (1942) and followed by Patterson (1950), Eckler (1955), Rao and Graham (1964), Singh et al (1992) and Singh (2005) among others have developed the theory of successive sampling. Feng and Zou (1997) and Biradar and Singh (2001) ρ between the auxiliary variables x and z are known. The objective of the present paper is to propose a more precise estimator for estimating the population mean at current occasion in two occasions successive (rotation) sampling in the presence of auxiliary variable.…”

Section: Introductionmentioning

confidence: 99%

Efficient Utilization of Auxiliary Information on Estimation of Population Mean Using Exponential Type Estimators in Successive Sampling

Pal¹,

Singh²

2017

JSTA

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This paper advocates the problem of estimating the population mean on the current occasion in two occasion successive (rotation) sampling under the transformed auxiliary variable using exponential method of estimation. Four different type estimators are suggested for estimating the current population mean in two occasion successive (rotation) sampling. Optimum replacement policies and performance of suggested estimators have been discussed. Outcomes are interpreted through empirical study.

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Successive Sampling Using Auxiliary Information on Both the Occasions

Cited by 66 publications

References 4 publications

An Efficient Estimation Procedure in Two-Occasion Successive Sampling

An Efficient Estimation Procedure in Two-Occasion Successive Sampling

A Modified Procedure for Estimating the Population Mean in Two-Occasion Successive Sampling

Efficient Utilization of Auxiliary Information on Estimation of Population Mean Using Exponential Type Estimators in Successive Sampling

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